{"id":"W4417447364","doi":"10.1007/978-3-032-15735-5_9","title":"Case Studies and Global Best Practices","year":2025,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"","keywords":"Best practice; Financial literacy; Mental health; Organizational culture; Global health; Training (meteorology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009632165,0.0004191955,0.0007992907,0.0001930617,0.001144101,0.00001252639,0.0001611764,0.000326066,0.00006100763],"category_scores_gemma":[0.002274025,0.0003858022,0.0000626192,0.0001508968,0.0005881782,0.0001175014,0.0006869988,0.001169527,0.0002052579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007236208,"about_ca_system_score_gemma":0.0006679271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688579,"about_ca_topic_score_gemma":0.001579173,"domain_scores_codex":[0.9971731,0.0002148347,0.00114916,0.0006524627,0.0003354402,0.0004750438],"domain_scores_gemma":[0.9881859,0.0096034,0.000973031,0.0002056427,0.0009256187,0.000106393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001453824,0.00003646188,0.002816147,0.007378833,0.0007954638,0.003501698,0.009395977,0.002326403,1.179039e-8,0.9022506,0.02243175,0.04892128],"study_design_scores_gemma":[0.0002615956,0.0001572341,0.00004551823,0.01012016,0.0001924546,0.0004917593,0.03035495,0.000870009,1.995091e-7,0.8927881,0.06414736,0.0005707392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007327772,0.2005418,0.002491297,0.007219222,0.006689216,0.002560511,0.000163456,0.0001500721,0.7794516],"genre_scores_gemma":[0.104025,0.1602859,0.02188904,0.009413398,0.002287491,0.0006200836,0.00008533631,0.0001078541,0.7012858],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1032923,"threshold_uncertainty_score":0.9998594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2727659862409819,"score_gpt":0.5515454724668166,"score_spread":0.2787794862258348,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}